§ Sven by Tumezi

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EXPE

As-of 2026-05-22 · run #10

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Historical rows from the featured store. Choose up to three series; hover a point for the value at that date.

Probabilities · 15d / 10% target_15d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_15d_10_perc_gain global global 0.2023 0 0.219
target_15d_10_perc_gain sector consumer_discretionary 0.1193 0 0.336
Mean (global + sector) 0.1608 0.277

Probabilities · 30d / 10% target_30d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_10_perc_gain global global 0.3134 0 0.403
target_30d_10_perc_gain sector consumer_discretionary 0.2689 1 0.219
Mean (global + sector) 0.2912 0.311

Probabilities · 30d / 20% target_30d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_30d_20_perc_gain global global 0.0991 0 0.178
target_30d_20_perc_gain sector consumer_discretionary 0.0864 0 0.412
Mean (global + sector) 0.0927 0.295

Probabilities · 60d / 10% target_60d_10_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_10_perc_gain global global 0.5522 1 0.159
target_60d_10_perc_gain sector consumer_discretionary 0.4659 1 0.395
Mean (global + sector) 0.5091 0.277

Probabilities · 60d / 20% target_60d_20_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_20_perc_gain global global 0.1994 0 0.266
target_60d_20_perc_gain sector consumer_discretionary 0.1715 0 0.354
Mean (global + sector) 0.1854 0.31

Probabilities · 60d / 30% target_60d_30_perc_gain

Target Scope Model key P(pos) Pred Threshold
target_60d_30_perc_gain global global 0.0833 0 0.323
target_60d_30_perc_gain sector consumer_discretionary 0.109 0 0.265
Mean (global + sector) 0.0961 0.294

All models · summary

One row per trained target: mean P and mean threshold after combining global and sector. Bottom row averages those across models.

Model Mean P (global+sector) Mean thresh (global+sector)
15d / 10% target_15d_10_perc_gain 0.1608 0.277
30d / 10% target_30d_10_perc_gain 0.2912 0.311
30d / 20% target_30d_20_perc_gain 0.0927 0.295
60d / 10% target_60d_10_perc_gain 0.5091 0.277
60d / 20% target_60d_20_perc_gain 0.1854 0.31
60d / 30% target_60d_30_perc_gain 0.0961 0.294
Mean across models 0.2226 0.294

Inputs & features (prediction_snapshot)

Same calendar row as inference (snapshot stored at prediction time, or live query).

1. open 218.18
2. high 221.31
3. low 210.85
4. close 214.65
5. adjusted close 214.65
6. volume 1550011.0
7. dividend amount 0.0
8. split coefficient 1.0
ADX_14_ADX 20.2787
adx_sma_buy 0
adx_strong_trend 0
adx_strong_trend_count_14 0.0
adx_strong_trend_count_30 0.0
adx_strong_trend_count_7 0.0
bb_buy 0
bb_buy_count_14 3.0
bb_buy_count_30 3.0
bb_buy_count_7 0.0
bb_rsi_buy 0
bb_sell 0
bb_sell_count_14 0.0
bb_sell_count_30 6.0
bb_sell_count_7 0.0
BBANDS_20_Real Lower Band 201.735
BBANDS_20_Real Middle Band 231.9245
BBANDS_20_Real Upper Band 262.114
cal_dow 4.0
cal_is_month_end 0.0
cal_month 5.0
corr_spy_60 0.18815537819836306
econ_cpi_value 333.02
econ_fed_funds_value 3.64
econ_tsy_10y_value 4.32
econ_tsy_3m_value 3.7
econ_unemployment_value 4.3
excess_ret_vs_spy_20 -0.19488792167054558
excess_ret_vs_spy_60 -0.06879276858293837
fib_buy_signal 0
gics_sector consumer_discretionary
gics_sub_industry hotels,_resorts_&_cruise_lines
ichimoku_buy 0
ichimoku_sell 1
macd_buy 0
macd_buy_count_14 0.0
macd_buy_count_30 11.0
macd_buy_count_7 0.0
MACD_MACD -7.961
MACD_MACD_Hist -2.0806
MACD_MACD_Signal -5.8804
macd_sell 1
macd_sell_count_14 14.0
macd_sell_count_30 19.0
macd_sell_count_7 7.0
OBV_OBV 323336298.0
price_vs_roll7 -0.008381455205416222
roc_30 -0.058924108904379824
roc_7 -0.01333026890370037
rolling_avg_30 240.61433333333335
rolling_avg_7 216.46428571428572
RSI_14_RSI 35.2269
rsi_buy 0
rsi_buy_count_14 0.0
rsi_buy_count_30 0.0
rsi_buy_count_7 0.0
rsi_macd_buy 0
rsi_sell 0
rsi_sell_count_14 0.0
rsi_sell_count_30 2.0
rsi_sell_count_7 0.0
sma_200_gradient_14 0.2064285714285725
sma_200_gradient_30 0.30722666666666687
sma_200_gradient_7 0.17807142857142821
SMA_200_SMA 238.1928
sma_50_gradient_14 0.07221428571428541
sma_50_gradient_30 0.2732733333333338
sma_50_gradient_7 -0.3954857142857122
SMA_50_SMA 237.233
sma_death_cross 1
sma_death_cross_count_14 3.0
sma_death_cross_count_30 17.0
sma_death_cross_count_7 3.0
sma_golden_cross 0
sma_golden_cross_count_14 11.0
sma_golden_cross_count_30 13.0
sma_golden_cross_count_7 4.0
sma_overlap_14 0
sma_overlap_30 0
sma_overlap_7 0
spy_ret_vol_20 0.006491488605770184
STOCHRSI_14_FastD 77.35
STOCHRSI_14_FastK 32.05
stochrsi_buy 0
stochrsi_buy_count_14 8.0
stochrsi_buy_count_30 13.0
stochrsi_buy_count_7 3.0
stochrsi_macd_buy 0
stochrsi_sell 0
stochrsi_sell_count_14 3.0
stochrsi_sell_count_30 12.0
stochrsi_sell_count_7 2.0
stock_daily_ret -0.015908674124335276
stock_ret_sum_20 -0.1509968833743306
stock_ret_sum_60 0.015116859238755276
sven_beta_buy 0
volatility_30 18.749204798464945
volatility_7 1.5120610343214078
volume_avg_30 1709894.0
volume_avg_7 1524053.2857142857
volume_profile_buy 0
vwma_buy 0
vwma_buy_count_14 0.0
vwma_buy_count_30 10.0
vwma_buy_count_7 0.0
vwma_sell 1
vwma_sell_count_14 14.0
vwma_sell_count_30 20.0
vwma_sell_count_7 7.0
xs_z_price_vs_roll7 -0.7870494777034506
xs_z_roc_30 -0.6251825087319635
xs_z_volatility_30 0.23483156781952716